- 新增.gitignore以排除环境文件和IDE配置
- 更新pyproject.toml以添加新依赖:ipywidgets, openai, python-dotenv
- 新建Python脚本以加载环境变量并配置智能体
💄 style(notebook): improve notebook code structure and comments
- 修改notebook中代码块的执行计数为null
- 添加代码注释以提升可读性和理解性
- 引入load_dotenv以支持环境变量加载
86 lines
2.2 KiB
Plaintext
86 lines
2.2 KiB
Plaintext
{
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"cells": [
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{
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"cell_type": "markdown",
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"metadata": {},
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"source": [
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"## 背景\n",
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"\n",
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"我有一个`postgresql`数据库,现在需要一个专业的数据库优化工程师,来帮我看下设计是否合理,以及如何优化.\n",
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"\n",
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"## 目标\n",
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"\n",
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"这个数据库优化工程师智能体应该具备以下能力:\n",
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"\n",
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"- [ ] 使用`claude3.7`作为模型(相当于拥有一个聪明的大脑,总是能够做出正确的决策)\n",
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"- [ ] 精通关系型数据库系统的理论知识以及`postgresql`的实现细节(知识库)\n",
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"- [ ] 能够使用`postgresql mcp server`来分析现有数据库设计(行为)\n"
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]
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},
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{
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"cell_type": "code",
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"execution_count": null,
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"metadata": {
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"ExecuteTime": {
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"end_time": "2025-03-30T15:44:44.236141Z",
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"start_time": "2025-03-30T15:44:44.223728Z"
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}
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},
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"outputs": [],
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"source": [
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"# 然后在notebook中加载\n",
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"from dotenv import load_dotenv\n",
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"\n",
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"# 加载当前目录下的.env文件\n",
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"load_dotenv()"
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]
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},
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{
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"cell_type": "code",
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"execution_count": null,
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"metadata": {
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"ExecuteTime": {
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"end_time": "2025-03-30T15:44:58.492402Z",
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"start_time": "2025-03-30T15:44:45.695125Z"
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}
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},
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"outputs": [],
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"source": [
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"from agno.agent import Agent, RunResponse # noqa\n",
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"from agno.models.deepseek import DeepSeek\n",
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"\n",
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"agent = Agent(model=DeepSeek(id=\"deepseek-chat\"), markdown=True)\n",
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"\n",
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"# Get the response in a variable\n",
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"# run: RunResponse = agent.run(\"Share a 2 sentence horror story\")\n",
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"# print(run.content)\n",
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"\n",
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"# Print the response in the terminal\n",
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"agent.print_response(\"傻狗\")\n",
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"# 用jupyter的话输出有问题,妈的,转到py文件"
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]
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}
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],
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"metadata": {
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"kernelspec": {
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"display_name": ".venv",
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"language": "python",
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"name": "python3"
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},
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"language_info": {
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"codemirror_mode": {
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"name": "ipython",
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"version": 3
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},
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"file_extension": ".py",
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"mimetype": "text/x-python",
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"name": "python",
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"nbconvert_exporter": "python",
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"pygments_lexer": "ipython3",
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"version": "3.12.8"
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}
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},
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"nbformat": 4,
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"nbformat_minor": 2
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}
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